Author

Daniel Lucas Kerr

University of California, San FranciscoORCID 0000-0002-0557-8341Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alejandro A. SchäfferiD· 1 shared Andrius Šinkūnas· 1 shared Christopher P. LapointeiD· 1 shared Collin Michael BlakelyiD· 1 shared Craig J. ThomasiD· 1 shared David MaiiD· 1 shared Dustin MullaneyiD· 1 shared Eva K. NicholsiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alejandro A. SchäfferORCID

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2 papers

Recent·Most cited

Capsule-Based Single-Cell Genome Sequencing

Dustin Mullaney, Samantha R. Sgrizzi, David Mai, Ian J. Campbell, Yuqi Huang, Andrius Šinkūnas, Daniel Lucas Kerr, Valentino E. Browning, Helen E. Eisenach, Jeremiah Nelson Sims, Eva K. Nichols, Christopher P. Lapointe, Yasuhiro Amimura, Kelley Harris, Rapolas Žilionis, Sanjay R Srivatsan

This paper introduces a semi-permeable capsule for single-cell genome sequencing, enabling uniform coverage and minimal cross-contamination for detecting genomic variants.

bioRxiv · Mar 14, 2025 · PreprintGenomics

Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

Sanju Sinha, Rahulsimham Vegesna, Saugato Rahman Dhruba, Wei Wu, Daniel Lucas Kerr, Oleg V. Stroganov, Ivan V. Grishagin, Kenneth Aldape, Collin Michael Blakely, Peng Jiang, Craig J. Thomas, Trever Grant Bivona, Alejandro A. Schäffer, Eytan Ruppin

This paper introduces PERCEPTION, a framework using single-cell transcriptomics to predict cancer treatment response and resistance, outperforming bulk expression-based methods in clinical trials.

bioRxiv · Jan 11, 2022 · PreprintBioinformatics